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scvxclustr (version 0.1)

Sparse Convex Clustering

Description

Alternating Minimization Algorithm (AMA) and Alternating Direction Method of Multipliers (ADMM) splitting methods for sparse convex clustering.

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Install

install.packages('scvxclustr')

Monthly Downloads

2

Version

0.1

License

CC BY-NC-SA 4.0

Maintainer

Yilong Zhang

Last Published

October 13th, 2016

Functions in scvxclustr (0.1)

scvxclust

Sparse Convex Clustering Path
dist_weight

Weight function for w
AMA_step_size

Compute step size Anderson-Morely upper bound on the largest eigenvalue of the Laplacian
create_clustering_problem

Create a random clustering problem
find_clusters

Find clusters
compactify_edges

Construct indices matrices
predict_validate

Predict validation data
create_adjacency

Create adjacency matrix from V